Security Scan Report: qaz-c4l.pages.dev

Submitted: Dec 20, 2025, 1:19:32 AMCompleted: Dec 20, 2025, 1:20:49 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is qaz-c4l.pages.dev and was registered NaN years ago.

Submitted URL: https://qaz-c4l.pages.dev/es/about/knowledge/faq

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site only shows a 429 error and contains no malicious indicators.

Safety Factors
Well‑established domain (>5 years)
No malicious Indicators of Compromise
No credential or payment collection fields
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by rate_limit bot protection. Our scanner was challenged or blocked during access.

Page Title

429 Too Many Requests

Scan Type

public

Language

🇺🇸

English

(25% confidence)

Category

news media journalism

(71%)

Domain Information

Domain 'qaz-c4l.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'qaz-c4l'. Count 5 characters in 'pages' with two vowels and 3 consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://qaz-c4l.pages.dev/es/about/knowledge/faq

Page Load Overview

0.89s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:25%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:25%
Script Type:Latin
Text Length:53 chars
Detector Agreement:67%

Website Classification

Primary Category

news media journalism71% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
71%
adult content
68%
cryptocurrency blockchain
65%
healthcare medical
64%
government public service
58%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1188.114.97.3United States
AS13335CLOUDFLARENET
1188.114.96.3United States
AS13335CLOUDFLARENET
22--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BBF0909F9F16303F2E238572F8835168CF740966EB9C25E28749215F72CA041C8B5FAC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxYy1bx0AqNvlIgIHTF83TF83TF83TF83TF83TFf:kl1mAW8TuTuTuTuTuTF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:554:AAAAAAAAEAgAAAAAAAgAIAAAAAABAAAAAAAAQAAAAAAAAAIAAAAAAAAAAAAACAAAAIAAAABBAAAAAAAAACAQAAAAAAAQAEAA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:c3e7ffffffffffff
Perceptual Hash:e464646464747d7d
Difference Hash:9608000000000000
Wavelet Hash:c300ffff00000000
Color Hash:#a8e06c

Other Hashes

Crop Resistant:9608000000000000

Scan History

Scan history not available

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